IDEAS home Printed from
   My bibliography  Save this paper

Evaluating cost and profit efficiency: a comparison of parametric and nonparametric methodologies


  • Delis, Manthos D
  • Koutsomanoli-Filippaki, Anastasia
  • Staikouras, Christos
  • Gerogiannaki, Katerina


The objective of this article is 2-fold. First, it provides an empirical assessment of the cost and profit stochastic frontiers based on a panel dataset of Greek commercial banks over the period 1993 to 2005. Second, on the basis of the same sample, it also compares the most widely used parametric and nonparametric techniques to cost efficiency measurement, namely, the Stochastic Frontier Approach and Data EnvelopmentAnalysis. The results suggest greater similarities between the predictions of cost and profit efficiency methods than between parametric and nonparametric techniques. Such evidence is new in the literature and calls for a more technically level playing field for estimating bank efficiency.

Suggested Citation

  • Delis, Manthos D & Koutsomanoli-Filippaki, Anastasia & Staikouras, Christos & Gerogiannaki, Katerina, 2008. "Evaluating cost and profit efficiency: a comparison of parametric and nonparametric methodologies," MPRA Paper 14039, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:14039

    Download full text from publisher

    File URL:
    File Function: original version
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    1. Maudos, Joaquin & Pastor, Jose M. & Perez, Francisco & Quesada, Javier, 2002. "Cost and profit efficiency in European banks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 12(1), pages 33-58, February.
    2. Berger, Allen N. & Humphrey, David B., 1991. "The dominance of inefficiencies over scale and product mix economies in banking," Journal of Monetary Economics, Elsevier, vol. 28(1), pages 117-148, August.
    3. Eichengreen, Barry & Gibson, Heather D, 2001. "Greek Banking at the Dawn of the New Millennium," CEPR Discussion Papers 2791, C.E.P.R. Discussion Papers.
    4. Berger, Allen N. & Mester, Loretta J., 1997. "Inside the black box: What explains differences in the efficiencies of financial institutions?," Journal of Banking & Finance, Elsevier, vol. 21(7), pages 895-947, July.
    5. Ferrier, Gary D. & Lovell, C. A. Knox, 1990. "Measuring cost efficiency in banking : Econometric and linear programming evidence," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 229-245.
    6. Bauer, Paul W. & Berger, Allen N. & Ferrier, Gary D. & Humphrey, David B., 1998. "Consistency Conditions for Regulatory Analysis of Financial Institutions: A Comparison of Frontier Efficiency Methods," Journal of Economics and Business, Elsevier, vol. 50(2), pages 85-114, March.
    7. Brissimis, Sophocles N. & Delis, Manthos D. & Tsionas, Efthymios G., 2010. "Technical and allocative efficiency in European banking," European Journal of Operational Research, Elsevier, vol. 204(1), pages 153-163, July.
    8. Berger, Allen N. & Humphrey, David B., 1997. "Efficiency of financial institutions: International survey and directions for future research," European Journal of Operational Research, Elsevier, vol. 98(2), pages 175-212, April.
    9. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    10. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    11. Robert A. Eisenbeis & Gary D. Ferrier & Simon H. Kwan, 1999. "The informativeness of stochastic frontier and programming frontier efficiency scores: Cost efficiency and other measures of bank holding company performance," FRB Atlanta Working Paper 99-23, Federal Reserve Bank of Atlanta.
    12. Resti, Andrea, 1997. "Evaluating the cost-efficiency of the Italian Banking System: What can be learned from the joint application of parametric and non-parametric techniques," Journal of Banking & Finance, Elsevier, vol. 21(2), pages 221-250, February.
    13. Hasan, Iftekhar & Marton, Katherin, 2003. "Development and efficiency of the banking sector in a transitional economy: Hungarian experience," Journal of Banking & Finance, Elsevier, vol. 27(12), pages 2249-2271, December.
    14. Vivas, Ana Lozano, 1997. "Profit efficiency for Spanish savings banks," European Journal of Operational Research, Elsevier, vol. 98(2), pages 381-394, April.
    15. Kumbhakar, Subal C. & Tsionas, Efthymios G., 2005. "Measuring technical and allocative inefficiency in the translog cost system: a Bayesian approach," Journal of Econometrics, Elsevier, vol. 126(2), pages 355-384, June.
    16. Hondroyiannis, George & Lolos, Sarantis & Papapetrou, Evangelia, 1999. "Assessing competitive conditions in the Greek banking system," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 9(4), pages 377-391, November.
    17. Huang, Tai-Hsin & Wang, Mei-Hui, 2002. "Comparison of Economic Efficiency Estimation Methods: Parametric and Non-parametric Techniques," Manchester School, University of Manchester, vol. 70(5), pages 682-709, September.
    18. Berger, Allen N. & Hancock, Diana & Humphrey, David B., 1993. "Bank efficiency derived from the profit function," Journal of Banking & Finance, Elsevier, vol. 17(2-3), pages 317-347, April.
    19. Nicos C. Kamberoglou & Elias Liapis & George T. Simigiannis & Panagiota Tzamourani, 2004. "Cost Efficiency in Greek Banking," Working Papers 09, Bank of Greece.
    20. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    Full references (including those not matched with items on IDEAS)


    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    Cited by:

    1. Dong, Yizhe & Hamilton, Robert & Tippett, Mark, 2014. "Cost efficiency of the Chinese banking sector: A comparison of stochastic frontier analysis and data envelopment analysis," Economic Modelling, Elsevier, vol. 36(C), pages 298-308.
    2. Gómez-Gallego, Juan Cándido & Gómez-García, Juan & Pérez-Cárceles, María Concepción, 2012. "Appropriate Distribution of Cost Inefficiency Estimates as Predictor of Financial Instability /La distribución de la ineficiencia estimada como predictor de inestabilidad financiera," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 30, pages 1071(12.)-1, Diciembre.
    3. Meryem Duygun & Mohamed Shaban & Robin Sickles & Thomas Weyman-Jones, 2015. "How a regulatory capital requirement affects banks’ productivity: an application to emerging economies," Journal of Productivity Analysis, Springer, vol. 44(3), pages 237-248, December.
    4. Fethi, Meryem Duygun & Pasiouras, Fotios, 2010. "Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey," European Journal of Operational Research, Elsevier, vol. 204(2), pages 189-198, July.
    5. Béjaoui Rouissi, Raoudha, 2011. "Cost and profit efficiency of french commercial banks," MPRA Paper 34245, University Library of Munich, Germany.

    More about this item


    Bank cost and profit efficiency; Parametric and non-parametric methods;

    JEL classification:

    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:14039. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.